A risk model for predicting partial late radiation-induced injuries in T3-4 nasopharyngeal carcinoma based on dosimetric parameters and clinical factors

In this study, a predictive risk model for late-radiation events of T3-4 NPC was successfully constructed. This model has a good prediction effect both in training cohort and test cohort. This model is expected to predict the risk of late radiation-induced injuries in advance and adjust the radiotherapy plan in time to reduce the occurrence of advanced radiation injury.

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Publication Details

Journal
Discover Oncology
Published
2025-08-14
DOI
https://doi.org/10.1007/s12672-025-03401-6
Citations
1
Primary Topic
Head and Neck Cancer Studies
Type
article
Field-Weighted Citation Impact
1.85

Funders

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article

A risk model for predicting partial late radiation-induced injuries in T3-4 nasopharyngeal carcinoma based on dosimetric parameters and clinical factors

Qinghua Du, Yaogang Zhong, Xiangde Li, Xiaodong Zhu et al.
1 citations
Discover Oncology
Head and Neck Cancer Studies
1.85
article

A risk model for predicting partial late radiation-induced injuries in T3-4 nasopharyngeal carcinoma based on dosimetric parameters and clinical factors

Qinghua Du, Yaogang Zhong, Xiangde Li, Xiaodong Zhu, Jian Li, Qiulu Zhong, Sisi Wu, Haiying Yue
article en
1 citations

Abstract

In this study, a predictive risk model for late-radiation events of T3-4 NPC was successfully constructed. This model has a good prediction effect both in training cohort and test cohort. This model is expected to predict the risk of late radiation-induced injuries in advance and adjust the radiotherapy plan in time to reduce the occurrence of advanced radiation injury.

Discover OncologyVol. 16(1)
Guangxi Medical University (CN), First Affiliated Hospital of GuangXi Medical University (CN), The Second Nanning People's Hospital (CN)
Guangxi Medical University
Openalex Percentile: Top 13%
Head and Neck Cancer Studies
1.85
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A risk model for predicting partial late radiation-induced injuries in T3-4 nasopharyngeal carcinoma based on dosimetric parameters and clinical factors — Qinghua Du, Yaogang Zhong, et al. · Discover Oncology (2025) | TGRS Research Map | TGRS